Computer vision - ECCV 2024 Workshop...
European Conference on Computer Vision (2024 :)

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  • Computer vision - ECCV 2024 Workshops = Milan, Italy, September 29-October 4, 2024 : proceedings.. Part X /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Computer vision - ECCV 2024 Workshops/ edited by Alessio Del Bue ... [et al.].
    其他題名: Milan, Italy, September 29-October 4, 2024 : proceedings.
    其他題名: ECCV 2024 Workshops
    其他作者: Del Bue, Alessio.
    團體作者: European Conference on Computer Vision
    出版者: Cham :Springer Nature Switzerland : : 2025.,
    面頁冊數: lvi, 398 p. :ill. (some col.), digital ;24 cm.
    內容註: MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation -- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results -- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark -- Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-Ensembling -- Compression-RQ-VQA: Leveraging Rich Quality-aware Features for Compressed Video Quality Assessment -- Learning from Strong to Weak - An Enhanced Quality Comparison Network via Efficient Transfer Learning -- Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency -- AVSal: Enhancing Video Saliency Prediction through Audio-Visual Fusion and Temporal Aggregation -- SR-VQA: Super-Resolution Video Quality Assessment Model -- AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results -- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results -- Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement -- AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results -- TASOD: A Data Collection for Tiny and Small Object Detection -- Effective Prior Regularized Sparse Learning -- AIM 2024 Challenge on UHD Blind Photo Quality Assessment -- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results -- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content -- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation -- Leveraging Object Priors for Point Tracking -- PVUW 2024 Challenge on Complex Video Understanding: Methods and Results -- LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-031-91856-8
    ISBN: 9783031918568
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